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Harrington, M. Rachel; Ickes, Melinda J. – American Journal of Health Education, 2016
Background: Obesity continues to be an epidemic in college students, yet research is warranted to determine whether obesity increases the likelihood of risky health behaviors in this population. Purpose: The purpose of this study was to examine the association between body mass index (BMI) and health behaviors in college students. Methods: A…
Descriptors: Obesity, College Students, Correlation, Online Surveys
Housely, Alexandra; Branscum, Paul; Cheney, Marshall; Hofford, Craig – Health Education Journal, 2016
Objective: The objective of this study was to identify theory-based psychosocial and environmental determinants of parental monitoring practices related to child sugar-sweetened beverage consumption. Design: Cross-sectional design. Method: Data were obtained from a convenience sample of parents (n = 270) with children attending an after-school…
Descriptors: Case Studies, After School Programs, Nutrition, Food Standards
Cartwright, Luke; Reid, Marie; Hammersley, Richard; Blackburn, Chrissie; Glover, Lesley – Journal of Intellectual Disabilities, 2015
People with intellectual disabilities experience a range of health inequalities. It is important to investigate possible contributory factors that may lead to these inequalities. This qualitative study identified some difficulties for healthy eating in day centres. (1) Service users and their family carers were aware of healthy food choices but…
Descriptors: Food, Eating Habits, Intellectual Disability, Qualitative Research
Watkins, Francine; Jones, Sue – Health Education Journal, 2015
Objective: The aim of this study was to identify the complexities and pressures faced by parents when trying to embed knowledge of healthy eating in their children's lifestyles. Design: Qualitative design using focus groups with parents and children aged 10 to 11 years. Methods: The research was conducted in two phases. The first phase involved…
Descriptors: Obesity, Parent Influence, Food, Parent Child Relationship
Petherick, LeAnne; Beausoleil, Natalie – Canadian Journal of Education, 2015
Epidemiological data construct the population of Newfoundland and Labrador as being one of the most obese populations in Canada. The concern for child and youth health is particularly pertinent within school culture and places teachers in precarious positions where they are being asked to share in shaping healthy lifestyle messages while also…
Descriptors: Females, Elementary School Teachers, Health Behavior, Teaching Methods
Parks, Elizabeth P.; Kazak, Anne; Kumanyika, Shiriki; Lewis, Lisa; Barg, Frances K. – Health Education & Behavior, 2016
Objective: In an effort to develop targets for childhood obesity interventions in non-Hispanic-Black (Black) families, this study examined parental perceptions of stress and identified potential links among parental stress and children's eating patterns, physical activity, and screen-time. Method: Thirty-three self-identified Black parents or…
Descriptors: Stress Variables, Child Rearing, Child Health, Obesity
Benton, Pree; Skouteris, Helen; Hayden, Melissa – Early Child Development and Care, 2016
The primary aim of the present study was to cross-sectionally examine the associations between maternal psychosocial variables, child feeding practices, and preschooler body mass index z-score (BMI-z) in children (aged 2-4 years). A secondary aim was to examine differences in child weight outcomes between mothers scoring above and below specified…
Descriptors: Depression (Psychology), Anxiety, Mothers, Symptoms (Individual Disorders)
Pelletier, Jennifer E.; Lytle, Leslie A.; Laska, Melissa N. – Health Education & Behavior, 2016
The objective of this study was to describe the relationship between stress, weight-related health risk behaviors (e.g., eating behaviors, physical activity, sedentary behavior, sleep, cigarette smoking, and binge drinking), and weight status using cross-sectional data on 2-year community college students enrolled in a randomized controlled weight…
Descriptors: Stress Variables, Case Studies, Regression (Statistics), Correlation
Knol, Linda L.; Myers, Harriet H.; Black, Sheila; Robinson, Darlene; Awololo, Yawah; Clark, Debra; Parker, Carson L.; Douglas, Joy W.; Higginbotham, John C. – American Journal of Health Education, 2016
Background: Effective childhood obesity prevention programs for preschool children are limited in number and focus on changes in the child care environment rather than the home environment. Purpose: The purpose of this project was to develop and test the feasibility of a home environment obesity prevention program that incorporates mindful eating…
Descriptors: Program Development, Obesity, Prevention, Preschool Education
Dodd, Allison Hedley; Briefel, Ronette; Cabili, Charlotte; Wilson, Ander; Crepinsek, Mary Kay – Journal of Nutrition Education and Behavior, 2013
Objective: Identify disparities by race/ethnicity and obesity status in the consumption of sugar-sweetened beverages (SSBs) and other beverages among United States schoolchildren to help tailor interventions to reduce childhood obesity. Design: Secondary data analysis using beverage intake data from 24-hour dietary recalls and measured height and…
Descriptors: Outcome Measures, Race, Ethnicity, Lunch Programs
Cook-Cottone, Catherine P.; Tribole, Evelyn; Tylka, Tracy L. – APA Books, 2013
Concern over increased childhood obesity has spurred various school-based interventions. However, these interventions often have little positive effect and may inadvertently contribute to unhealthy behaviors during weight loss attempts. Indeed, a general emphasis on appearance and weight (rather than health) can promote eating disordered…
Descriptors: Children, Eating Habits, Obesity, Eating Disorders
Chen, Xuewei; Cisse-Egbuonye, Nafissatou; Spears, Erica C.; Mkuu, Rahma; McKyer, E. Lisako J. – Health Education Journal, 2018
Objective: Due to the disproportionately high rates of obesity within the US Hispanic community, there is a critical need to address this health disparity issue. The aim of this study is to examine the relationship between parents' socio-demographic characteristics and their children's food consumption. Design: Cross-sectional study. Setting:…
Descriptors: Elementary School Students, Hispanic American Students, Grade 4, Health Behavior
Collective and Experimental Research Project for Master's Students on the Pathophysiology of Obesity
Bourlier, Virginie; Conte, Caroline; Denis, Colette; Dray, Cédric; Guillou, Pascale; Belliure, Manuela; Lorsignol, Anne; Noël, Marion; Buffin-Meyer, Bénédicte – Advances in Physiology Education, 2017
We describe here a collective and experimental research project-based learning (ERPBL) for master's students that can be used to illustrate some basic concepts on glucose/lipid homeostasis and renal function around a topical issue. The primary objective of this ERPBL was to strengthen students' knowledge and understanding of physiology and…
Descriptors: Pathology, Physiology, Obesity, Student Projects
Branscum, Paul; Housley, Alexandra; Bhochhibhoya, Amir; Hayes, Logan – Journal of Health Education Teaching, 2016
Purpose: Low consumption of fruits and vegetables is often associated with poor diet quality, and childhood obesity. The purpose of this study was to assess the feasibility, and conduct a formative evaluation, of Healthy Heroes, an innovative, social cognitive theory-based program that uses child created photo-comic books to promote fruit and…
Descriptors: Eating Habits, Food, Cartoons, Social Cognition
Heo, Moonseong; Irvin, Erica; Ostrovsky, Natania; Isasi, Carmen; Blank, Arthur E.; Lounsbury, David W.; Fredericks, Lynn; Yom, Tiana; Ginsberg, Mindy; Hayes, Shawn; Wylie-Rosett, Judith – Journal of School Health, 2016
Background: HealthCorps provides school wellness programming using curricula to promote changes in nutrition, mental health, and physical activity behaviors. The research objective was to evaluate effects of implementing its curricula on nutrition, mental health, and physical activity knowledge and behavior. Methods: Pre- and postsurvey data were…
Descriptors: Health Behavior, Knowledge Level, Eating Habits, Gender Differences